Survey design
Results
All (5)
All (5) ((5 results))
- 1. Sample maintenance based on Peano keys ArchivedArticles and reports: 12-001-X199000214536Description:
We discuss frame and sample maintenance issues that arise in recurring surveys. A new system is described that meets four objectives. Through time, it maintains (1) the geographical balance of a sample; (2) the sample size; (3) the unbiased character of estimators; and (4) the lack of distortion in estimated trends. The system is based upon the Peano key, which creates a fractal, space-filling curve. An example of the new system is presented using a national survey of establishments in the United States conducted by the A.C. Nielsen Company.
Release date: 1990-12-14 - Articles and reports: 12-001-X199000114561Description:
This note by Morris H. Hansen presents a discussion of the four papers in the special section “History and emerging issues in censuses and surveys” by: i) J.N.K. Rao and D.R. Bellhouse, ii) S.E. Fienberg and J.M. Tanur, iii) B.A. Bailar, and iv) L. Kish.
Release date: 1990-06-15 - 3. Sample design of the 1988 National Farm Survey ArchivedArticles and reports: 12-001-X199000114553Description:
The National Farm Survey is a sample survey which produces annual estimates on a variety of subjects related to agriculture in Canada. The 1988 survey was conducted using a new sample design. This design involved multiple sampling frames and multivariate sampling techniques different from those of the previous design. This article first describes the strategy and methods used to develop the new sample design, then gives details on factors affecting the precision of the estimates. Finally, the performance of the new design is assessed using the 1988 survey results.
Release date: 1990-06-15 - Articles and reports: 12-001-X199000114554Description:
The problem considered is that of estimation of the total of a finite population which is stratified at two levels: a deeper level which has low intrastratum variability but is not known until the first phase of sampling, and a known pre-stratification which is relatively effective, unit by unit, in predicting the deeper post-stratification. As an important example, the post-stratification may define two groups corresponding to responders and non-responders in the situation of two-phase sampling for non-response. The estimators of Vardeman and Meeden (1984) are employed in a variety of situations where different types of prior information are assumed. In a general case, the standard error relative to that of the usual methods is studied via simulation. In the situation where no prior information is available and where proportional sampling is employed, the estimator is unbiased and its variance is approximated. Here, the variance is always lower than that of the usual double sampling for stratification. Also, without prior information, but with non-proportional sampling, using a slight modification of the second phase sampling plan, an unbiased estimator is found along with its variance, an unbiased estimator of its variance, and an optimal allocation scheme for the two phases of sampling. Finally, applications of these methods are discussed.
Release date: 1990-06-15 - 5. Rolling samples and Censuses ArchivedArticles and reports: 12-001-X199000114557Description:
Rolling censuses combine F nonoverlapping periodic samples of 1/F each, so designed that cumulating the F periods yields a complete census of the whole population area with F / F = 1. Intermediate cumulations of k samples would yield samples of k/F for more timely uses (annual or quinquennial censuses). Area sampling frames would cover the national territory for naturally mobile populations. These methods may often be preferable to other alternative methods for censuses, also discussed. Asymmetrical cumulations are also recommended to counter the problems of small sample cells for area domains (provinces, regions, states) common to most countries and to other population units. Split-panel-designs offer another use for cumulating periodic surveys by combining nonoverlapping portions a - b - c - d - with panels p for partial overlaps, pa - pb - pc - pd -, for multipurpose designs.
Release date: 1990-06-15
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (5)
Analysis (5) ((5 results))
- 1. Sample maintenance based on Peano keys ArchivedArticles and reports: 12-001-X199000214536Description:
We discuss frame and sample maintenance issues that arise in recurring surveys. A new system is described that meets four objectives. Through time, it maintains (1) the geographical balance of a sample; (2) the sample size; (3) the unbiased character of estimators; and (4) the lack of distortion in estimated trends. The system is based upon the Peano key, which creates a fractal, space-filling curve. An example of the new system is presented using a national survey of establishments in the United States conducted by the A.C. Nielsen Company.
Release date: 1990-12-14 - Articles and reports: 12-001-X199000114561Description:
This note by Morris H. Hansen presents a discussion of the four papers in the special section “History and emerging issues in censuses and surveys” by: i) J.N.K. Rao and D.R. Bellhouse, ii) S.E. Fienberg and J.M. Tanur, iii) B.A. Bailar, and iv) L. Kish.
Release date: 1990-06-15 - 3. Sample design of the 1988 National Farm Survey ArchivedArticles and reports: 12-001-X199000114553Description:
The National Farm Survey is a sample survey which produces annual estimates on a variety of subjects related to agriculture in Canada. The 1988 survey was conducted using a new sample design. This design involved multiple sampling frames and multivariate sampling techniques different from those of the previous design. This article first describes the strategy and methods used to develop the new sample design, then gives details on factors affecting the precision of the estimates. Finally, the performance of the new design is assessed using the 1988 survey results.
Release date: 1990-06-15 - Articles and reports: 12-001-X199000114554Description:
The problem considered is that of estimation of the total of a finite population which is stratified at two levels: a deeper level which has low intrastratum variability but is not known until the first phase of sampling, and a known pre-stratification which is relatively effective, unit by unit, in predicting the deeper post-stratification. As an important example, the post-stratification may define two groups corresponding to responders and non-responders in the situation of two-phase sampling for non-response. The estimators of Vardeman and Meeden (1984) are employed in a variety of situations where different types of prior information are assumed. In a general case, the standard error relative to that of the usual methods is studied via simulation. In the situation where no prior information is available and where proportional sampling is employed, the estimator is unbiased and its variance is approximated. Here, the variance is always lower than that of the usual double sampling for stratification. Also, without prior information, but with non-proportional sampling, using a slight modification of the second phase sampling plan, an unbiased estimator is found along with its variance, an unbiased estimator of its variance, and an optimal allocation scheme for the two phases of sampling. Finally, applications of these methods are discussed.
Release date: 1990-06-15 - 5. Rolling samples and Censuses ArchivedArticles and reports: 12-001-X199000114557Description:
Rolling censuses combine F nonoverlapping periodic samples of 1/F each, so designed that cumulating the F periods yields a complete census of the whole population area with F / F = 1. Intermediate cumulations of k samples would yield samples of k/F for more timely uses (annual or quinquennial censuses). Area sampling frames would cover the national territory for naturally mobile populations. These methods may often be preferable to other alternative methods for censuses, also discussed. Asymmetrical cumulations are also recommended to counter the problems of small sample cells for area domains (provinces, regions, states) common to most countries and to other population units. Split-panel-designs offer another use for cumulating periodic surveys by combining nonoverlapping portions a - b - c - d - with panels p for partial overlaps, pa - pb - pc - pd -, for multipurpose designs.
Release date: 1990-06-15
Reference (0)
Reference (0) (0 results)
No content available at this time.
- Date modified: